Atjaunināt sīkdatņu piekrišanu

Adoption and Effect of Artificial Intelligence on Human Resources Management [Hardback]

Edited by (La Trobe University, Australia), Edited by (Shiv Nadar University, India), Edited by (University of Malta, Malta), Edited by (Amity University, India), Edited by (Chitkara Business School, Chitkara University, India)
Citas grāmatas par šo tēmu:
  • Hardback
  • Cena: 113,24 €
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
Adoption and Effect of Artificial Intelligence on Human Resources ManagementPalielināt
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781803820286.html
Keywords:

Emerald Studies In Finance, Insurance, And Risk Management 7 explores how AI and Automation enhance the basic functions of human resource management.

The traditional framework of Human Resource Management (HRM) primarily consists of four functions: Human Resource Planning, Recruitment and Selection, Training and Development and Performance Management Systems which help businesses in hiring, motivating and retaining employees. The introduction of Artificial Intelligence (AI) has changed all of these aspects.

The Adoption and Effect of Artificial Intelligence on Human Resources Management Series sets out a blended approach towards different functions of HRM and AI, reflecting upon: HR data privacy; data security; diversity and inclusion using AI; and sustainable AI-HR practices. This book is ideal for HR managers, senior managers, researchers, and students planning a career in this field.



Emerald Studies In Finance, Insurance, And Risk Management 7 explores how AI and Automation enhance the basic functions of human resource management.



Emerald Studies In Finance, Insurance, And Risk Management 7 explores how AI and Automation enhance the basic functions of human resource management. The traditional framework of Human Resource Management (HRM) primarily consists of four functions: Human Resource Planning, Recruitment and Selection, Training and Development and Performance Management Systems which help businesses in hiring, motivating and retaining employees. The introduction of Artificial Intelligence (AI) has changed all of these aspects. The Adoption and Effect of Artificial Intelligence on Human Resources Management Series sets out a blended approach towards different functions of HRM and AI, reflecting upon: HR data privacy; data security; diversity and inclusion using AI; and sustainable AI-HR practices. This book is ideal for HR managers, senior managers, researchers, and students planning a career in this field.
List of Figures and Tables
vii
About the Editors xi
About the Contributors xiii
Foreword xxi
Preface xxii
Chapter 1 Redefining HRM with Artificial Intelligence and Machine Learning
1(14)
Shivani Agarwal
Apoorv Gupta
Puja Roshani
Chapter 2 Employee Engagement in the New Normal: Artificial Intelligence as a Buzzword or a Game Changer?
15(32)
Akansha Mer
Avantika Srivastava
Chapter 3 Impact of Artificial Intelligence on Human Capital in Healthcare Sector Post-COVID-19
47(24)
Amrinder Singh
Geetika Madaan
Swapna H.R.
Anuj Kumar
Chapter 4 Healthcare Employee Engagement Using the Internet of Things: A Systematic Overview
71(28)
Pinki Paul
Balgopal Singh
Chapter 5 Factor Affecting the Successful Digitalisation of Human Resources
99(8)
Rakesh Shirase
Priyanka Chhihber
Amur Narkhede
Chapter 6 Challenges and Path Ahead for Artificial Intelligence-aided Human Resource Management
107(16)
Lalita Mohan Mohapatra
A. V. S. Kamesh
Jayashree Roul
Chapter 7 Navigating the Paradigm Shift in HRM Practices Through the Lens of Artificial Intelligence: A Post-pandemic Perspective
123(32)
Akansha Mer
Amarpreet Singh Virdi
Chapter 8 Recruitment Analytics: Hiring in the Era of Artificial Intelligence
155(20)
V. R. Uma
Ilango Velchamy
Deepika Upadhyay
Chapter 9 Artificial Intelligence in HRM: Role of Emotional-Social Intelligence and Future Work Skill
175(22)
Arjita Singh
Tanya Chouhan
Chapter 10 Implementation of Artificial Intelligence in Diagnosing Employees Attrition and Elevation: A Case Study on the IBM Employee Dataset
197(18)
Saurabh Sharma
Romica Bhat
Chapter 11 Reinventing Workplace Learning and Development: Envisaging the Role of AI
215(14)
Mohammad Faraz Nairn
Chapter 12 Artificial Intelligence-based People Analytics Transforming Human Resource Management Practices
229(16)
Anjali Rai
Lata Bajpai Singh
Chapter 13 Identification, Assessment and Optimisation of Key Impact Variables in People Analytics Using AI
245(38)
Jada Kameswari
Hemant Palivela
Sreekanth Settur
Poonam Solanki
Index 283
Pallavi Tyagi is an Associate Professor in the area of human resource management at Amity College of Commerce and Finance, Amity University Uttar Pradesh, Noida, India



Naveen Chilamkurti is a Professor and Head of the Cybersecurity discipline at La Trobe University, Melbourne, Australia



Simon Grima is the the Deputy Dean of the Faculty of Economics, Management and Accountancy, Associate Professor and the Head of the Department of Insurance and Risk Management, University of Malta and a Professor at the University of Latvia, Faculty of Business Management and Economics, Latvia



Kiran Sood is a Professor in Chitkara Business School, Chitkara University, Punjab, India Dr. Balamurugan Balusamy is Associate Dean - Student Engagement at Shiv Nadar University, India



Dr. Balamurugan Balusamy is Associate Dean - Student Engagement at Shiv Nadar University, India